Data Engineering Specialist
دوام كامل
في Saudi Petroleum Services Polytechnic
في
Saudi Arabia
نُشرت يوم January 30, 2025
تفاصيل الوظيفة
An exciting opportunity has arisen for a Data Engineering Specialist in the thriving chemical manufacturing industry. The role requires a depth of knowledge in data engineering and analytics, with a passion for digitization. Client Details Our client is a reputable large organization within the chemical manufacturing industry. With a global footprint, they are known for their significant contributions to the sector and are based in the vibrant city of Al Jubail. Description
- Design, build, and maintain scalable and efficient data pipelines to support the acquisition, storage, and processing of data from manufacturing systems, IoT sensors, and other sources.
- Integrate diverse datasets from multiple sources, including ERP systems, SCADA systems, laboratory data, and production equipment, into a unified data architecture.
- Develop Extract, Transform, and Load (ETL) workflows to clean, transform, and prepare raw manufacturing data for analysis and reporting.
- Manage and optimize databases to ensure high performance, reliability, and scalability for handling large volumes of manufacturing data.
- Implement and monitor data validation and quality checks to ensure accuracy and consistency in manufacturing-related datasets.
- Collaborate with data scientists and analysts to prepare data for predictive modeling, machine learning, and process optimization projects.
- Develop solutions to handle streaming data from sensors and IoT devices, enabling real-time monitoring and decision-making.
- Ensure adherence to data privacy and security regulations, particularly in handling sensitive manufacturing data and intellectual property.
- Work closely with chemical engineers, process engineers, and IT teams to understand data requirements and deliver actionable insights.
- Monitor the performance of data systems and pipelines, troubleshoot issues, and perform regular maintenance to ensure uninterrupted data flow.
- Identify opportunities to leverage data engineering tools and techniques to improve manufacturing efficiency, reduce waste, and enhance product quality.
- Maintain comprehensive documentation of data pipelines, workflows, and processes to facilitate transparency and reproducibility.
- A degree in Information Technology, Computer Science, or a related field.
- Proficiency in multiple front-end languages and libraries (HTML/ CSS, JavaScript, XML, jQuery).
- Proficiency in multiple back-end languages (Python, Java, or Scala for data manipulation and pipeline automation) and multiple frameworks e.g., .NET framework.
- Experience with relational database management systems including querying, structuring, and maintenance in MS SQL, PostgreSQL, MongoDB, etc.
- Experience in different web servers i.e., Apache and IIS.
- Extensive knowledge in mobile app development, starting from the code to publishing into the app store and Mobile Device Management (MDM) solutions.
- Proficiency in Objective-C, Swift, and Cocoa Touch.
- Experience with Apple iOS frameworks such as Core Data, Core Animation, etc.
- Proficiency with Android Studio and Android SDK tools.
- Knowledge in UI/UX Design.
- Proficiency in Data Warehousing Solutions: Experience with platforms like Redshift, BigQuery, or Snowflake.
- Experience with ETL Pipelines: Knowledge of designing, building, and maintaining ETL processes.
- Familiarity with Big Data Technologies: Experience with Hadoop, Spark, or Kafka for processing large data sets.
- Hands-on experience in Cloud Services with AWS, Azure, or Google Cloud for data storage, processing, and pipeline deployment.
- Data Modeling and Database Design: Ability to design efficient and scalable data models.
- Data Quality and Testing: Experience with tools and methods for ensuring data integrity and accuracy.
- Version Control and Collaboration Tools: Familiarity with collaboration platforms.
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